险企数字化转型:"数据失真"顽疾待解

Core Viewpoint - The issue of data distortion in insurance companies has become a key focus for regulatory authorities, with multiple companies facing penalties for inaccuracies in their data reporting [1][2][11]. Group 1: Regulatory Actions - In August alone, several insurance companies and their branches were penalized for data distortion issues, with a total of 11 companies facing fines this year [2][3]. - The penalties stem from various violations, including inaccurate financial and business data, failure to properly reserve for claims, and submission of false financial documents [2][3]. Group 2: Specific Cases - Notable companies penalized include Xinjiang Qianhai United Property Insurance, ICBC-AXA Life Insurance, and China Pacific Insurance, among others, for issues such as "unrealistic financial data" and "inaccurate reporting" [3][4]. - China Pacific Life Insurance received a fine of 4.23 million yuan for violations related to data inaccuracies and improper use of approved insurance terms [4]. Group 3: Underlying Issues - The persistent problem of data distortion in the insurance industry is attributed to a lack of familiarity with reporting procedures, misunderstanding of rules, and insufficient staff qualifications [6][7]. - Motivations for data falsification differ between headquarters and branches, with headquarters aiming to meet regulatory requirements and beautify performance, while branches often seek personal benefits such as bonuses [8]. Group 4: Regulatory Enhancements - The regulatory body has issued a notification to enhance the standardization of data reporting for life insurance companies, emphasizing the need for improved data governance and quality management [9][10]. - Companies are required to correct historical data reporting issues by August 20, 2025, to support the non-site supervision approach increasingly relied upon by regulators [10]. Group 5: Industry Outlook - The frequency and severity of penalties indicate a decreasing tolerance for data falsification by regulatory authorities, with a focus on critical data affecting solvency [11].